The Shanghai maglev cost 9.93 billion yuan to build. [ US $1.2 billion for 30-kilometers or about $40 million per kilometer] This total includes infrastructure capital costs such as manufacturing and construction facilities, and operational training. At 50 yuan per passenger and the current 7,000 passengers per day, income from the system is incapable of recouping the capital costs (including interest on financing) over the expected lifetime of the system, even ignoring operating costs This changes if capacity utilization increases from the current 20%.

China aims to limit the cost of future construction extending the maglev line to approximately 200 million yuan per kilometer.

The United States Federal Railroad Administration 2003 Draft Environmental Impact Statement for a proposed Baltimore-Washington Maglev project gives an estimated 2008 capital costs of 4.361 billion US dollars for 39.1 miles, or 111.5 million US dollars per mile (69.3 million US dollars per kilometer). The Maryland Transit Administration (MTA) conducted their own Environmental Impact Statement, and put the pricetag at 4.9 billion dollars for construction, and 53 million a year for operations.

The proposed Chūō Shinkansen maglev in Japan is estimated to cost approximately US$82 billion to build, with a route blasting long tunnels through mountains. A Tokaido maglev route replacing current Shinkansen would cost some 1/10th the cost, as no new tunnel blasting would be needed, but noise pollution issues would make it infeasible.

The only low-speed maglev (100 km/h) currently operational, the Japanese Linimo HSST, cost approximately US$100 million/km to build. Besides offering improved operation and maintenance costs over other transit systems, these low-speed maglevs provide ultra-high levels of operational reliability and introduce little noise and zero air pollution into dense urban settings.

As maglev systems are deployed around the world, experts expect construction costs to drop as new construction methods are innovated along with economies of scale.

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